code: def testMultiOutput(self):
      def fn(x, y):
          c = x + y
          # Multiple outputs from split.
          d, f = array_ops.split(c, 2)
          return d + f
  
      a = constant_op.constant([[1.0, 0.0], [0.0, 1.0]])
      b = constant_op.constant([[1.0, 2.0], [3.0, 4.0]])
      da, db = backprop.gradients_function(fn, [0, 1])(a, b)
      with context.graph_mode(), self.cached_session():
          tf_a = constant_op.constant(
              [[1, 0], [0, 1]], dtype=dtypes.float32
          )
          tf_b = constant_op.constant(
              [[1, 2], [3, 4]], dtype=dtypes.float32
          )
          tf_c = tf_a + tf_b
          tf_d, tf_f = array_ops.split(tf_c, 2, axis=1)
          tf_e = tf_d + tf_f
          tf_da, tf_db = gradients_impl.gradients(tf_e, [tf_a, tf_b])
  
          self.assertAllEqual(da, self.evaluate(tf_da))
          self.assertAllEqual(db, self.evaluate(tf_db))
  
imports: from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import record
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
label_desc: Use image node_id 1 for calling the TapeTest obj's underlying member method code with example usage: obj.testMultiOutput() and returns: unknown